Cargando…

A literature review on the analysis of symptom-based clinical pathways: Time for a different approach?

Breathlessness is a common clinical presentation, accounting for a quarter of all emergency hospital attendances. As a complex undifferentiated symptom, it may be caused by dysfunction in multiple body systems. Electronic health records are rich with activity data to inform clinical pathways from un...

Descripción completa

Detalles Bibliográficos
Autores principales: Gunatilleke, Nammunikankanange Janak, Fleuriot, Jacques, Anand, Atul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931260/
https://www.ncbi.nlm.nih.gov/pubmed/36812546
http://dx.doi.org/10.1371/journal.pdig.0000042
_version_ 1784889209984647168
author Gunatilleke, Nammunikankanange Janak
Fleuriot, Jacques
Anand, Atul
author_facet Gunatilleke, Nammunikankanange Janak
Fleuriot, Jacques
Anand, Atul
author_sort Gunatilleke, Nammunikankanange Janak
collection PubMed
description Breathlessness is a common clinical presentation, accounting for a quarter of all emergency hospital attendances. As a complex undifferentiated symptom, it may be caused by dysfunction in multiple body systems. Electronic health records are rich with activity data to inform clinical pathways from undifferentiated breathlessness to specific disease diagnoses. These data may be amenable to process mining, a computational technique that uses event logs to identify common patterns of activity. We reviewed use of process mining and related techniques to understand clinical pathways for patients with breathlessness. We searched the literature from two perspectives: studies of clinical pathways for breathlessness as a symptom, and those focussed on pathways for respiratory and cardiovascular diseases that are commonly associated with breathlessness. The primary search included PubMed, IEEE Xplore and ACM Digital Library. We included studies if breathlessness or a relevant disease was present in combination with a process mining concept. We excluded non-English publications, and those focussed on biomarkers, investigations, prognosis, or disease progression rather than symptoms. Eligible articles were screened before full-text review. Of 1,400 identified studies, 1,332 studies were excluded through screening and removal of duplicates. Following full-text review of 68 studies, 13 were included in qualitative synthesis, of which two (15%) were symptom and 11 (85%) disease focused. While studies reported highly varied methodologies, only one included true process mining, using multiple techniques to explore Emergency Department clinical pathways. Most included studies trained and internally validated within single-centre datasets, limiting evidence for wider generalisability. Our review has highlighted a lack of clinical pathway analyses for breathlessness as a symptom, compared to disease-focussed approaches. Process mining has potential application in this area, but has been under-utilised in part due to data interoperability challenges. There is an unmet research need for larger, prospective multicentre studies of patient pathways following presentation with undifferentiated breathlessness.
format Online
Article
Text
id pubmed-9931260
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-99312602023-02-16 A literature review on the analysis of symptom-based clinical pathways: Time for a different approach? Gunatilleke, Nammunikankanange Janak Fleuriot, Jacques Anand, Atul PLOS Digit Health Research Article Breathlessness is a common clinical presentation, accounting for a quarter of all emergency hospital attendances. As a complex undifferentiated symptom, it may be caused by dysfunction in multiple body systems. Electronic health records are rich with activity data to inform clinical pathways from undifferentiated breathlessness to specific disease diagnoses. These data may be amenable to process mining, a computational technique that uses event logs to identify common patterns of activity. We reviewed use of process mining and related techniques to understand clinical pathways for patients with breathlessness. We searched the literature from two perspectives: studies of clinical pathways for breathlessness as a symptom, and those focussed on pathways for respiratory and cardiovascular diseases that are commonly associated with breathlessness. The primary search included PubMed, IEEE Xplore and ACM Digital Library. We included studies if breathlessness or a relevant disease was present in combination with a process mining concept. We excluded non-English publications, and those focussed on biomarkers, investigations, prognosis, or disease progression rather than symptoms. Eligible articles were screened before full-text review. Of 1,400 identified studies, 1,332 studies were excluded through screening and removal of duplicates. Following full-text review of 68 studies, 13 were included in qualitative synthesis, of which two (15%) were symptom and 11 (85%) disease focused. While studies reported highly varied methodologies, only one included true process mining, using multiple techniques to explore Emergency Department clinical pathways. Most included studies trained and internally validated within single-centre datasets, limiting evidence for wider generalisability. Our review has highlighted a lack of clinical pathway analyses for breathlessness as a symptom, compared to disease-focussed approaches. Process mining has potential application in this area, but has been under-utilised in part due to data interoperability challenges. There is an unmet research need for larger, prospective multicentre studies of patient pathways following presentation with undifferentiated breathlessness. Public Library of Science 2022-05-26 /pmc/articles/PMC9931260/ /pubmed/36812546 http://dx.doi.org/10.1371/journal.pdig.0000042 Text en © 2022 Gunatilleke et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Gunatilleke, Nammunikankanange Janak
Fleuriot, Jacques
Anand, Atul
A literature review on the analysis of symptom-based clinical pathways: Time for a different approach?
title A literature review on the analysis of symptom-based clinical pathways: Time for a different approach?
title_full A literature review on the analysis of symptom-based clinical pathways: Time for a different approach?
title_fullStr A literature review on the analysis of symptom-based clinical pathways: Time for a different approach?
title_full_unstemmed A literature review on the analysis of symptom-based clinical pathways: Time for a different approach?
title_short A literature review on the analysis of symptom-based clinical pathways: Time for a different approach?
title_sort literature review on the analysis of symptom-based clinical pathways: time for a different approach?
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931260/
https://www.ncbi.nlm.nih.gov/pubmed/36812546
http://dx.doi.org/10.1371/journal.pdig.0000042
work_keys_str_mv AT gunatillekenammunikankanangejanak aliteraturereviewontheanalysisofsymptombasedclinicalpathwaystimeforadifferentapproach
AT fleuriotjacques aliteraturereviewontheanalysisofsymptombasedclinicalpathwaystimeforadifferentapproach
AT anandatul aliteraturereviewontheanalysisofsymptombasedclinicalpathwaystimeforadifferentapproach
AT gunatillekenammunikankanangejanak literaturereviewontheanalysisofsymptombasedclinicalpathwaystimeforadifferentapproach
AT fleuriotjacques literaturereviewontheanalysisofsymptombasedclinicalpathwaystimeforadifferentapproach
AT anandatul literaturereviewontheanalysisofsymptombasedclinicalpathwaystimeforadifferentapproach